Wind Energy: A Practical Power Analysis Approach

Farhan Hai Khan, Tannistha Pal, Bishal Kundu, Rounik Roy
{"title":"Wind Energy: A Practical Power Analysis Approach","authors":"Farhan Hai Khan, Tannistha Pal, Bishal Kundu, Rounik Roy","doi":"10.1109/IEMRE52042.2021.9386754","DOIUrl":null,"url":null,"abstract":"Wind energy is one of the fastest-growing green technologies as it provides clean, safe, and renewable electricity generation. This study provides insights into the available methodologies for sustainable power harnessing using wind resources, scrutinizing the developments in the recent decades and the future potential of global wind power industries. Contrasting and comparing the expected Weibull distribution to the true frequency distribution of the actual wind speed, this research proposes an empirical equation using Polynomial Lasso Regression techniques over field data obtained from Turkey, for the instantaneous active power generated by wind turbines in practical scenarios. A detailed overview of the wind energy calculation and improvements is discussed with the existing wind power production techniques. Finally, an optimal analysis of wind power utilization in top Indian states, and inspection of potential wind power applications is carried out with respect to the Indian subcontinent.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Innovations in Energy Management and Renewable Resources(52042)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMRE52042.2021.9386754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Wind energy is one of the fastest-growing green technologies as it provides clean, safe, and renewable electricity generation. This study provides insights into the available methodologies for sustainable power harnessing using wind resources, scrutinizing the developments in the recent decades and the future potential of global wind power industries. Contrasting and comparing the expected Weibull distribution to the true frequency distribution of the actual wind speed, this research proposes an empirical equation using Polynomial Lasso Regression techniques over field data obtained from Turkey, for the instantaneous active power generated by wind turbines in practical scenarios. A detailed overview of the wind energy calculation and improvements is discussed with the existing wind power production techniques. Finally, an optimal analysis of wind power utilization in top Indian states, and inspection of potential wind power applications is carried out with respect to the Indian subcontinent.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
风能:实用的电力分析方法
风能是发展最快的绿色技术之一,因为它提供清洁、安全和可再生的发电。本研究提供了利用风能资源可持续发电的可用方法的见解,仔细审查了近几十年的发展和全球风力发电行业的未来潜力。将期望Weibull分布与实际风速的真实频率分布进行对比和比较,本研究利用多项式Lasso回归技术对土耳其现场数据提出了实际场景下风力发电机组瞬时有功功率的经验方程。结合现有的风力发电技术,对风能计算和改进进行了详细的概述。最后,对印度各邦的风力发电利用进行了优化分析,并对印度次大陆的潜在风力发电应用进行了检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fabrication of an energy dual-axis solar tracking system and performance analyses through optimal values of solar panel parameters Control Strategy for Active and Reactive Power Regulation of Grid Tied Photovoltaic System Relevance of Color spaces and Color channels in performing Image dehazing Design and Analysis of Digitally Controlled Algorithm-in-loop Newton-Raphson Method Based PV Emulator An Edge Aware Polarimetric Co-Variance Feature Matrix Generation of Geo-Coded and Quad-Polarized Single Look Complex Synthetic Aperture Radar Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1